• 전자공학회논문지S
• /
• 제36S권12호
• /
• pp.34-40
• /
• 1999

일반적인 칼러 텔레비전 시스템에서는 색차신호의 대역제한으로 인하여 고채도 영상의 색경계 부분이 열화된다. 본 논문에서는 경계부분의 열화를 보정하기 위해 잡음의 영향을 적게 받는 변형된 색상가중 휘도복조 방식을 제안하였다. 제안 방식에서는 색차신호의 미분치와 대역제한된 휘도신호의 미분치의 비로써 색상 가중치를 구하였다. 색신호의 분리가 양호한 경우, 1차 저역통과 필터를 거친 색차신호와 휘도 신호는 이론적으로 거의 완전한 보정을 할 수 있다. 또한 잡음이 있는 화상인 경우 제안 방식으로 보정하는 과정에서 미분처리에 따른 임펄스성 잡음이 수반될 수 있으며 이를 제거하기 위한 잡음저감 방법도 함께 고려하였다. 잡음이 있는 화상을 사용한 컴퓨터 모의실험을 통해서 고채도 칼러영상의 경계영역에서 해상도의 향상과 함께 대역확장의 효과를 확인하였다.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2007년도 춘계학술발표대회
• /
• pp.1310-1312
• /
• 2007

Throughput improvement problem in wireless mesh network can be alleviated by equipped mesh router with multiple radios tuned into orthogonal channels. However, some links on the same channel also can be activated concurrently if the Signal-to-Noise and Interference Ratio (SNIR) at their receiver endpoints is not lower than the threshold. We propose a greedy algorithm to investigate the problem of how to schedule a set of feasible transmission under physical interference model by using the spatial time-division multiple-access (STDMA) scheme. We also consider the fairness in scheduling to prevent some border nodes from starvation. We evaluate our algorithms through extensive simulation and the results show that our algorithms can achieve better aggregate throughput and fairness performance than 802.11 standard.

• 방송공학회논문지
• /
• 제11권4호
• /
• pp.407-419
• /
• 2006

본 논문은 다시점 동영상 부호화를 위한 적응적인 조명변화 보상 방법을 제안한다. 다시점 비디오에서 카메라의 위치에 따라 조명의 차이가 발생할 수 있으며, 여러 대의 카메라가 물리적으로 완전히 동일한 특성을 가지도록 조정되지 못하여 각 카메라에서 촬영된 영상 간에 미세한 차이가 발생할 수 있다. 이러한 특성은 인접한 위치의 카메라로부터 획득된 영상을 참조하여 부호화하는 다시점 비디오 부호화의 성능을 저하시키는 요인이 된다. 제안하는 조명변화 보상 방법을 통하여 다시점 비디오 부호화의 압축 효율을 높일 수 있었으며, 조명변화 보상을 수행하지 않는 다시점 비디오 부호화와 비교하여 PSNR(Peak Signal-to-Noise Ratio)이 약 $0.1{\sim}0.6dB$ 정도 향상되었다.

• 방송공학회논문지
• /
• 제12권6호
• /
• pp.565-573
• /
• 2007

본 논문에서는 JVT에서 표준화가 진행 중인 다시점 비디오 부호화의 부호화 효율을 높이기 위해 다시점 비디오의 예측구조의 특성을 고려하여 움직임벡터 예측값을 선택하는 방법을 제안한다. 다시점 비디오 부호화에서 시간 방향과 뷰 방향의 예측을 수행하면서 서로 다른 성향의 움직임벡터가 발생된다. 또한 주변 블록에서 시간 방향과 뷰 방향 참조의 움직임벡터가 혼재하는 상황에서 동일한 성향의 움직임벡터가 선택되지 않는 경우가 발생되어 움직임벡터의 예측 효율이 저하된다. 이에 다시점 비디오 부호화의 예측구조에 따라 움직임벡터 예측값을 선택할 수 있는 방법을 제안한다. 제안하는 움직임벡터 예측값 선택 방법을 통하여 다시점 비디오 부호화의 압축 효율을 높일 수 있었으며, JMVM 3.6에서 움직임벡터 예측값을 선택하는 방법을 사용하는 다시점 비디오 부호화와 비교하여 PSNR(Peak Signal-to-Noise Ratio)이 약$0.03{\sim}0.1$ dB 정도 향상되었다.

• 한국전자파학회논문지
• /
• 제26권3호
• /
• pp.292-299
• /
• 2015

본 논문에서는 3-레벨 인코딩 기법을 적용하여 시스템의 효율과 선형성을 개선할 수 있는 새로운 구조의 EER 송신기를 제안하였다. 제안된 송신기는 첨두 전력 대 평균 전력비에 상관없이 동일한 크기의 신호만을 증폭하고, 채널대역 내의 양자화 노이즈를 감소시켜 높은 효율을 얻을 수 있으며, 포락선 신호와 위상 신호 간 시간 부정합 특성을 개선하여 높은 선형성을 가질 수 있도록 하였다. 130 nm CMOS 공정으로 제작된 송신기 칩은 8.5 dB의 첨두 전력 대 평균전력비를 갖는 LTE 20 MHz 신호에 대해 2.13 GHz의 반송주파수에서 3.7 %의 오류 벡터 크기와 37.5 dBc의 인접 채널 누설비 특성을 보인다.

• Investigative Magnetic Resonance Imaging
• /
• 제20권4호
• /
• pp.215-223
• /
• 2016

Purpose: The management of metal-induced field inhomogeneities is one of the major concerns of distortion-free magnetic resonance images near metallic implants. The recently proposed method called "Slice Encoding for Metal Artifact Correction (SEMAC)" is an effective spin echo pulse sequence of magnetic resonance imaging (MRI) near metallic implants. However, as SEMAC uses the noisy resolved data elements, SEMAC images can have a major problem for improving the signal-to-noise ratio (SNR) without compromising the correction of metal artifacts. To address that issue, this paper presents a novel reconstruction technique for providing an improvement of the SNR in SEMAC images without sacrificing the correction of metal artifacts. Materials and Methods: Low-rank approximation in each coil image is first performed to suppress the noise in the slice direction, because the signal is highly correlated between SEMAC-encoded slices. Secondly, SEMAC images are reconstructed by the best linear unbiased estimator (BLUE), also known as Gauss-Markov or weighted least squares. Noise levels and correlation in the receiver channels are considered for the sake of SNR optimization. To this end, since distorted excitation profiles are sparse, $l_1$ minimization performs well in recovering the sparse distorted excitation profiles and the sparse modeling of our approach offers excellent correction of metal-induced distortions. Results: Three images reconstructed using SEMAC, SEMAC with the conventional two-step noise reduction, and the proposed image denoising for metal MRI exploiting sparsity and low rank approximation algorithm were compared. The proposed algorithm outperformed two methods and produced 119% SNR better than SEMAC and 89% SNR better than SEMAC with the conventional two-step noise reduction. Conclusion: We successfully demonstrated that the proposed, novel algorithm for SEMAC, if compared with conventional de-noising methods, substantially improves SNR and reduces artifacts.

• ETRI Journal
• /
• 제18권2호
• /
• pp.61-74
• /
• 1996

We propose two new rate control schemes to improve MPEG-2 rate control in view of visual quality when scene changes happen. Two proposed schemes are characterized by real-time and non real-time improvement to reduce the impact of scene changes. We also propose a new target-bit prediction method using spatial activity of pictures and present a simple and efficient scene change detection scheme using signed difference of mean absolute difference (MAD). Computer simulation results show that the proposed real-time algorithm effectively alleviates visual quality degradation after scene changes. The proposed non real-time algorithm gives maximum 2 dB improvement in peak signal-to-noise ratio (PSNR) at a scene-changed picture, compared with MPEG-2 rate control scheme and it shows better quality than the real-time one.

• 핵의학기술
• /
• 제28권1호
• /
• pp.35-40
• /
• 2024

Purpose: To improve the image quality in positron emission tomography (PET), the attenuation correction technique based on the computed tomography (CT) data is important process. However, the artifact is caused by metal material during PET/CT scan, and the image quality is degraded. Therefore, the purpose of this study was to evaluate image quality according to with and without iterative metal artifact reduction (iMAR) algorithm using customized 3D printing phantom. Materials and Methods: The Hoffman and Derenzo phantoms were designed. To protect the gamma ray transmission and express the metal portion, lead substance was located to the surface. The SiPM based PET/CT was used for acquisition of PET images according to application with and without iMAR algorithm. The quantitative methods were used by signal to noise ratio (SNR), coefficient of variation (COV), and contrast to noise ratio (CNR). Results and Discussion: The results shows that the image quality applying iMAR algorithm was higher 1.15, 1.19, and 1.11 times than image quality without iMAR algorithm for SNR, COV, and CNR. Conclusion: In conclusion, the iMAR algorithm was useful for improvement of image quality by reducing the metal artifact lesion.

• International Journal of Naval Architecture and Ocean Engineering
• /
• 제12권1호
• /
• pp.617-635
• /
• 2020

The purpose of this study is to discuss how to improve the maneuverability of lifting and diving for underwater vehicle's vertical motion. Therefore, to solve these problems, applied the 3-D numerical simulation, Taguchi's Design of Experiment (DOE), and intelligent parameter design methods, etc. We planned four steps as follows: firstly, we applied the 2-D flow simulation with NACA series, and then through the Taguchi's dynamic method to analyze the sensitivity (β). Secondly, take the data of pitching torque and total resistance from the Taguchi orthogonal array (L9), the ignal-to-noise ratio (SNR), and analysis each factorial contribution by ANOVA. Thirdly, used Radial Basis Function Network (RBFN) method to train the non-linear meta-modeling and found out the best factorial combination by Particle Swarm Optimization (PSO) and Weighted Percentage Reduction of Quality Loss (WPRQL). Finally, the application of the above methods gives the global optimum for multi-quality characteristics and the robust design configuration, including L/D is 9.4:1, the foreplane on the hull (Bow-2), and position of the sail is 0.25 Ls from the bow. The result shows that the total quality is improved by 86.03% in comparison with the original design.

• Journal of Electrical Engineering and Technology
• /
• 제13권1호
• /
• pp.445-450
• /
• 2018

Reliable detection and parameter estimation of a radar cross section(RCS) fluctuating target have been known as a difficult task. To reduce the effect of RCS fluctuation, various diversity techniques have been considered. This paper presents a new method for synthesizing a covariance matrix applicable to a coherent multi-input multi-output(MIMO) radar with frequency diversity. It is achieved by efficiently combining covariance matrices corresponding to different carrier frequencies such that the signal-to-noise ratio(SNR) in the combined covariance matrix is maximized. The value of a synthesized covariance matrix is assessed by examining the phase curves of its entries and the improvement on direction of arrival(DOA) estimation.